Hiring: W2 Candidates Only
Job Summary
We are seeking a talented MI/AL Engineer to design develop and deploy intelligent systems that learn from data and improve over time. The role involves working with large datasets building machine learning models and collaborating with cross-functional teams to deliver AI-driven solutions.
Key Responsibilities
-
Design develop and implement machine learning and AI models
-
Analyze large complex datasets to extract actionable insights
-
Build train test and optimize ML/AL models
-
Deploy models into production and monitor performance
-
Work with data engineers to prepare and preprocess data
-
Implement algorithms for classification regression clustering and prediction
-
Improve model accuracy efficiency and scalability
-
Document models experiments and results
-
Stay updated with the latest AI/ML research and industry trends
Required Skills & Qualifications
-
Strong knowledge of Machine Learning & Artificial Intelligence concepts
-
Proficiency in Python (NumPy Pandas Scikit-learn)
-
Experience with ML frameworks such as TensorFlow PyTorch or Keras
-
Understanding of statistics probability and linear algebra
-
Experience with data preprocessing feature engineering and model evaluation
-
Knowledge of SQL and data handling techniques
-
Familiarity with version control systems (Git)
Preferred Skills (Nice to Have)
-
Experience with Deep Learning NLP or Computer Vision
-
Exposure to MLOps tools (MLflow Kubeflow Airflow)
-
Knowledge of cloud platforms (AWS Azure GCP)
-
Experience with big data tools (Spark Hadoop)
-
Understanding of REST APIs and model integration
Hiring: W2 Candidates Only Job Summary We are seeking a talented MI/AL Engineer to design develop and deploy intelligent systems that learn from data and improve over time. The role involves working with large datasets building machine learning models and collaborating with cross-functional teams to...
Hiring: W2 Candidates Only
Job Summary
We are seeking a talented MI/AL Engineer to design develop and deploy intelligent systems that learn from data and improve over time. The role involves working with large datasets building machine learning models and collaborating with cross-functional teams to deliver AI-driven solutions.
Key Responsibilities
-
Design develop and implement machine learning and AI models
-
Analyze large complex datasets to extract actionable insights
-
Build train test and optimize ML/AL models
-
Deploy models into production and monitor performance
-
Work with data engineers to prepare and preprocess data
-
Implement algorithms for classification regression clustering and prediction
-
Improve model accuracy efficiency and scalability
-
Document models experiments and results
-
Stay updated with the latest AI/ML research and industry trends
Required Skills & Qualifications
-
Strong knowledge of Machine Learning & Artificial Intelligence concepts
-
Proficiency in Python (NumPy Pandas Scikit-learn)
-
Experience with ML frameworks such as TensorFlow PyTorch or Keras
-
Understanding of statistics probability and linear algebra
-
Experience with data preprocessing feature engineering and model evaluation
-
Knowledge of SQL and data handling techniques
-
Familiarity with version control systems (Git)
Preferred Skills (Nice to Have)
-
Experience with Deep Learning NLP or Computer Vision
-
Exposure to MLOps tools (MLflow Kubeflow Airflow)
-
Knowledge of cloud platforms (AWS Azure GCP)
-
Experience with big data tools (Spark Hadoop)
-
Understanding of REST APIs and model integration
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